Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilbinsclass_available_securities_17june_student_xlmr_pipeline
is a English model originally trained by slimaneMakh.
How to use
pipeline = PretrainedPipeline("multilbinsclass_available_securities_17june_student_xlmr_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multilbinsclass_available_securities_17june_student_xlmr_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | multilbinsclass_available_securities_17june_student_xlmr_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 818.2 MB |
References
https://huggingface.co/slimaneMakh/MultiLBinSClass_Available_securities_17june_student_XLMR
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification